Type 2 Diabetes, Medication-Induced Diabetes, and Monogenic Diabetes in Canadian Children
نویسندگان
چکیده
OBJECTIVE To determine in Canadian children aged <18 years the 1) incidence of type 2 diabetes, medication-induced diabetes, and monogenic diabetes; 2) clinical features of type 2 diabetes; and 3) coexisting morbidity associated with type 2 diabetes at diagnosis. RESEARCH DESIGN AND METHODS This Canadian prospective national surveillance study involved a network of pediatricians, pediatric endocrinologists, family physicians, and adult endocrinologists. Incidence rates were calculated using Canadian Census population data. Descriptive statistics were used to illustrate demographic and clinical features. RESULTS From a population of 7.3 million children, 345 cases of non-type 1 diabetes were reported. The observed minimum incidence rates of type 2, medication-induced, and monogenic diabetes were 1.54, 0.4, and 0.2 cases per 100,000 children aged <18 years per year, respectively. On average, children with type 2 diabetes were aged 13.7 years and 8% (19 of 227) presented before 10 years. Ethnic minorities were overrepresented, but 25% (57 of 227) of children with type 2 diabetes were Caucasian. Of children with type 2 diabetes, 95% (206 of 216) were obese and 37% (43 of 115) had at least one comorbidity at diagnosis. CONCLUSIONS This is the first prospective national surveillance study in Canada to report the incidence of type 2 diabetes in children and also the first in the world to report the incidence of medication-induced and monogenic diabetes. Rates of type 2 diabetes were higher than expected with important regional variation. These results support recommendations that screening for comorbidity should occur at diagnosis of type 2 diabetes.
منابع مشابه
Practical Aspects of Monogenic Diabetes: A Clinical Point of View.
A diagnosis of diabetes will naturally impact an individual’s life. Unfortunately, the type of diabetes is rarely confirmed, and patients and their physicians rarely question the classification. Some data show that 7% to 15% of patients are incorrectly classified (1). This challenge of diagnosis is especially relevant in young adults in whom the risk for error increases, particularly soon after...
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